Data Engineer

🕒 November 5

🇺🇸 United States – Remote

💵 $104.8k - $131k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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• Open for 9 days.
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OnTrac

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1986

📦 Logistics

🛍️ eCommerce

🚗 Transport

Logistics • eCommerce • Transport

OnTrac is a regional alternative parcel carrier and logistics provider focused on e-commerce and residential delivery. It operates a coast-to-coast network (promoting itself as the largest alternative carrier network), offering ground services, an economy “Ground Essentials” product, and a new Express 2–3 day coast-to-coast service launching in 2026. OnTrac also provides custom logistics and business-to-business critical deliveries (including healthcare/pharma and specialized aircraft-on-ground repair services), partners with e-commerce platforms and retailers, and runs programs for independent drivers and regional service providers. The company emphasizes faster, lower-cost alternatives to legacy carriers and 7-day/week delivery programs to improve conversion and repeat purchases for merchants.

📋 Description

• Design, develop, and maintain ETL/ELT pipelines ingesting and transforming data from databases, APIs, and scheduled SFTP file deliveries • Build and manage GCP data infrastructure for performance, scalability, availability, and security • Integrate data across on-premises and cloud environments, supporting scheduled batch processing and incremental data loads • Develop structured data models and curated datasets for analytics, reporting, and downstream applications • Implement data quality checks, pipeline monitoring, error handling, and recovery processes • Automate manual tasks, optimize SQL and pipeline performance, and manage cloud resource costs • Collaborate with business, product, analytics, leadership, executive, data, and design teams to translate requirements into data solutions and resolve technical issues • Enable analysis of operational efficiency and customer acquisition metrics • Develop and operationalize machine learning models for forecasting and route optimization • Maintain documentation for data pipelines, architecture, source integrations, and operational procedures • Identify and implement internal process improvements and redesign infrastructure for scalability and optimized data delivery

🎯 Requirements

• At least 5 years of relevant, hands-on experience building and supporting production data pipelines on GCP • Strong SQL and Python skills for data extraction, transformation, integration, and automation • Hands-on experience with BigQuery and Cloud Storage, along with relevant GCP orchestration and data processing services • Experience integrating data from on-premises databases, cloud-hosted systems, REST APIs, and SFTP file transfers • Understanding of data modeling, ETL/ELT patterns, incremental loading, and data quality practices • Familiarity with access controls, service accounts, secrets management, and secure connectivity across on-premises and cloud environments • Experience with version control, automated deployments, and production troubleshooting • Strong communication skills and ability to work with technical and business stakeholders • Experience with workflow orchestration tools such as Apache Airflow or Cloud Composer preferred • Familiarity with infrastructure as code and CI/CD practices is a plus • Experience with forecasting, optimization methods, and deploying or monitoring machine learning models is desirable

🏖️ Benefits

• Medical, dental, and vision insurance • Life and short- and long-term disability coverage • 401(k) retirement savings plan with company match • Flex vacation in states other than CA, CO, IL, MA, MT, and NE, with accruals up to 96 hours for first year of employment with tenure-based increases up to 160 hours • Two (2) floating holidays per year • Paid sick leave • Six (6) paid company holidays • Two (2) weeks paid pregnancy disability leave • Four (4) weeks paid parental bonding leave • Additional wellness and employee assistance programs • Bonus, commission, or other incentive compensation may be available in accordance with the applicable plan

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